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<a href="device__histogram_8cuh.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;</div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">/******************************************************************************</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> * Copyright (c) 2011, Duane Merrill.  All rights reserved.</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * Copyright (c) 2011-2013, NVIDIA CORPORATION.  All rights reserved.</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * Redistribution and use in source and binary forms, with or without</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * modification, are permitted provided that the following conditions are met:</span></div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> *     * Redistributions of source code must retain the above copyright</span></div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> *       notice, this list of conditions and the following disclaimer.</span></div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> *     * Redistributions in binary form must reproduce the above copyright</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> *       notice, this list of conditions and the following disclaimer in the</span></div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *       documentation and/or other materials provided with the distribution.</span></div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> *     * Neither the name of the NVIDIA CORPORATION nor the</span></div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> *       names of its contributors may be used to endorse or promote products</span></div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *       derived from this software without specific prior written permission.</span></div>
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<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS &quot;AS IS&quot; AND</span></div>
<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED</span></div>
<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE</span></div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY</span></div>
<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES</span></div>
<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;</span></div>
<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND</span></div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="comment"> * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT</span></div>
<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="comment"> * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS</span></div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="comment"> * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</span></div>
<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="comment"> ******************************************************************************/</span></div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;</div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="preprocessor">#pragma once</span></div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="preprocessor">#include &lt;stdio.h&gt;</span></div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="preprocessor">#include &lt;iterator&gt;</span></div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;</div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="preprocessor">#include &quot;block/block_histo_tiles.cuh&quot;</span></div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="preprocessor">#include &quot;../grid/grid_even_share.cuh&quot;</span></div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;<span class="preprocessor">#include &quot;../grid/grid_queue.cuh&quot;</span></div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;<span class="preprocessor">#include &quot;../util_debug.cuh&quot;</span></div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;<span class="preprocessor">#include &quot;../util_device.cuh&quot;</span></div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;<span class="preprocessor">#include &quot;../util_namespace.cuh&quot;</span></div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;CUB_NS_PREFIX</div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;</div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;<span class="keyword">namespace </span>cub {</div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;</div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;</div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;<span class="comment">/******************************************************************************</span></div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;<span class="comment"> * Kernel entry points</span></div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;<span class="comment"> *****************************************************************************/</span></div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;</div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;<span class="preprocessor">#ifndef DOXYGEN_SHOULD_SKIP_THIS    // Do not document</span></div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;</div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;<span class="keyword">template</span> &lt;</div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;    <span class="keywordtype">int</span>                                             BINS,                   </div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;    <span class="keywordtype">int</span>                                             ACTIVE_CHANNELS,        </div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    <span class="keyword">typename</span>                                        SizeT,                  </div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    <span class="keyword">typename</span>                                        HistoCounter&gt;           </div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;__launch_bounds__ (BINS, 1)</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;__global__ <span class="keywordtype">void</span> InitHistoKernel(</div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    GridQueue&lt;SizeT&gt;                                grid_queue,             </div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    ArrayWrapper&lt;HistoCounter*, ACTIVE_CHANNELS&gt;    d_out_histograms,       </div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;    SizeT                                           num_samples)            </div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;{</div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;    d_out_histograms.array[blockIdx.x][threadIdx.x] = 0;</div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    <span class="keywordflow">if</span> (threadIdx.x == 0) grid_queue.ResetDrain(num_samples);</div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;}</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;</div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;</div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;<span class="keyword">template</span> &lt;</div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;    <span class="keyword">typename</span>                                        BlockHistogramTilesPolicy,   </div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    <span class="keywordtype">int</span>                                             BINS,                       </div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    <span class="keywordtype">int</span>                                             CHANNELS,                   </div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;    <span class="keywordtype">int</span>                                             ACTIVE_CHANNELS,            </div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    <span class="keyword">typename</span>                                        InputIteratorRA,            </div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    <span class="keyword">typename</span>                                        HistoCounter,               </div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;    <span class="keyword">typename</span>                                        SizeT&gt;                      </div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;__launch_bounds__ (<span class="keywordtype">int</span>(BlockHistogramTilesPolicy::BLOCK_THREADS), BlockHistogramTilesPolicy::SM_OCCUPANCY)</div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;__global__ <span class="keywordtype">void</span> MultiBlockHistogramKernel(</div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;    InputIteratorRA                                 d_samples,                  </div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    ArrayWrapper&lt;HistoCounter*, ACTIVE_CHANNELS&gt;    d_out_histograms,           </div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;    SizeT                                           num_samples,                </div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    GridEvenShare&lt;SizeT&gt;                            even_share,                 </div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    GridQueue&lt;SizeT&gt;                                queue)                      </div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;{</div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    <span class="comment">// Constants</span></div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;    <span class="keyword">enum</span></div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    {</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;        BLOCK_THREADS       = BlockHistogramTilesPolicy::BLOCK_THREADS,</div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;        ITEMS_PER_THREAD    = BlockHistogramTilesPolicy::ITEMS_PER_THREAD,</div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;        TILE_SIZE           = BLOCK_THREADS * ITEMS_PER_THREAD,</div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    };</div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;</div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    <span class="comment">// Thread block type for compositing input tiles</span></div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;    <span class="keyword">typedef</span> BlockHistogramTiles&lt;BlockHistogramTilesPolicy, BINS, CHANNELS, ACTIVE_CHANNELS, InputIteratorRA, HistoCounter, SizeT&gt; BlockHistogramTilesT;</div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;</div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;    <span class="comment">// Shared memory for BlockHistogramTiles</span></div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;    __shared__ <span class="keyword">typename</span> BlockHistogramTilesT::TempStorage temp_storage;</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;    <span class="comment">// Consume input tiles</span></div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;    BlockHistogramTilesT(temp_storage, d_samples, d_out_histograms.array).ConsumeTiles(</div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;        num_samples,</div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;        even_share,</div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;        queue,</div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;        Int2Type&lt;BlockHistogramTilesPolicy::GRID_MAPPING&gt;());</div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;}</div>
<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;</div>
<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;</div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;<span class="keyword">template</span> &lt;</div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;    <span class="keywordtype">int</span>                                             BINS,                   </div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;    <span class="keywordtype">int</span>                                             ACTIVE_CHANNELS,        </div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;    <span class="keyword">typename</span>                                        HistoCounter&gt;           </div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;__launch_bounds__ (BINS, 1)</div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;__global__ <span class="keywordtype">void</span> AggregateHistoKernel(</div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;    HistoCounter*                                   d_block_histograms,     </div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;    ArrayWrapper&lt;HistoCounter*, ACTIVE_CHANNELS&gt;    d_out_histograms,       </div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;    <span class="keywordtype">int</span>                                             num_threadblocks)       </div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;{</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;    <span class="comment">// Accumulate threadblock-histograms from the channel</span></div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;    HistoCounter bin_aggregate = 0;</div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;</div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;    <span class="keywordtype">int</span> block_offset = blockIdx.x * (num_threadblocks * BINS);</div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;    <span class="keywordtype">int</span> block_oob = block_offset + (num_threadblocks * BINS);</div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;</div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;<span class="preprocessor">#if CUB_PTX_ARCH &gt;= 200</span></div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;<span class="preprocessor"></span><span class="preprocessor">    #pragma unroll 32</span></div>
<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;<span class="preprocessor"></span><span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;<span class="preprocessor"></span>    <span class="keywordflow">while</span> (block_offset &lt; block_oob)</div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;    {</div>
<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;        bin_aggregate += d_block_histograms[block_offset + threadIdx.x];</div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;        block_offset += BINS;</div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;    }</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;</div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;    <span class="comment">// Output</span></div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;    d_out_histograms.array[blockIdx.x][threadIdx.x] = bin_aggregate;</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;}</div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;</div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;<span class="preprocessor">#endif // DOXYGEN_SHOULD_SKIP_THIS</span></div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;</div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;</div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;<span class="comment">/******************************************************************************</span></div>
<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;<span class="comment"> * DeviceHistogram</span></div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;<span class="comment"> *****************************************************************************/</span></div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;</div>
<div class="line"><a name="l00178"></a><span class="lineno"><a class="code" href="structcub_1_1_device_histogram.html">  178</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structcub_1_1_device_histogram.html" title="DeviceHistogram provides device-wide parallel operations for constructing histogram(s) from samples d...">DeviceHistogram</a></div>
<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;{</div>
<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;<span class="preprocessor">#ifndef DOXYGEN_SHOULD_SKIP_THIS    // Do not document</span></div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;    <span class="comment">/******************************************************************************</span></div>
<div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;<span class="comment">     * Constants and typedefs</span></div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;<span class="comment">     ******************************************************************************/</span></div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;</div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;    <span class="keyword">struct </span>KernelDispachParams</div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;    {</div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;        <span class="comment">// Policy fields</span></div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;        <span class="keywordtype">int</span>                         block_threads;</div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;        <span class="keywordtype">int</span>                         items_per_thread;</div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;        BlockHistogramTilesAlgorithm    block_algorithm;</div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;        GridMappingStrategy         grid_mapping;</div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;        <span class="keywordtype">int</span>                         subscription_factor;</div>
<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;</div>
<div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;        <span class="comment">// Derived fields</span></div>
<div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;        <span class="keywordtype">int</span>                         channel_tile_size;</div>
<div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;</div>
<div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;        <span class="keyword">template</span> &lt;<span class="keyword">typename</span> BlockHistogramTilesPolicy&gt;</div>
<div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;        __host__ __device__ __forceinline__</div>
<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;        <span class="keywordtype">void</span> Init(<span class="keywordtype">int</span> subscription_factor = 1)</div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;        {</div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;            block_threads               = BlockHistogramTilesPolicy::BLOCK_THREADS;</div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;            items_per_thread            = BlockHistogramTilesPolicy::ITEMS_PER_THREAD;</div>
<div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;            block_algorithm             = BlockHistogramTilesPolicy::GRID_ALGORITHM;</div>
<div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;            grid_mapping                = BlockHistogramTilesPolicy::GRID_MAPPING;</div>
<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;            this-&gt;subscription_factor   = subscription_factor;</div>
<div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;</div>
<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;            channel_tile_size           = block_threads * items_per_thread;</div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;        }</div>
<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;</div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;        __host__ __device__ __forceinline__</div>
<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;        <span class="keywordtype">void</span> Print()</div>
<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;        {</div>
<div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;            printf(<span class="stringliteral">&quot;%d, %d, %d, %d, %d&quot;</span>,</div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;                block_threads,</div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;                items_per_thread,</div>
<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;                block_algorithm,</div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;                grid_mapping,</div>
<div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;                subscription_factor);</div>
<div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;        }</div>
<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;</div>
<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;    };</div>
<div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;</div>
<div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;</div>
<div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;    <span class="comment">/******************************************************************************</span></div>
<div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;<span class="comment">     * Tuning policies</span></div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;<span class="comment">     ******************************************************************************/</span></div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;</div>
<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;    <span class="keyword">template</span> &lt;</div>
<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;        <span class="keywordtype">int</span>                         CHANNELS,</div>
<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;        <span class="keywordtype">int</span>                         ACTIVE_CHANNELS,</div>
<div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;        BlockHistogramTilesAlgorithm    GRID_ALGORITHM,</div>
<div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;        <span class="keywordtype">int</span>                         ARCH&gt;</div>
<div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;    <span class="keyword">struct </span>TunedPolicies;</div>
<div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;</div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;    <span class="keyword">template</span> &lt;<span class="keywordtype">int</span> CHANNELS, <span class="keywordtype">int</span> ACTIVE_CHANNELS, BlockHistogramTilesAlgorithm GRID_ALGORITHM&gt;</div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;    <span class="keyword">struct </span>TunedPolicies&lt;CHANNELS, ACTIVE_CHANNELS, GRID_ALGORITHM, 350&gt;</div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;    {</div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;        <span class="keyword">typedef</span> BlockHistogramTilesPolicy&lt;</div>
<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;            (GRID_ALGORITHM == GRID_HISTO_SORT) ? 128 : 256,</div>
<div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;            (GRID_ALGORITHM == GRID_HISTO_SORT) ? 12 : (30 / ACTIVE_CHANNELS),</div>
<div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;            GRID_ALGORITHM,</div>
<div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;            (GRID_ALGORITHM == GRID_HISTO_SORT) ? GRID_MAPPING_DYNAMIC : GRID_MAPPING_EVEN_SHARE,</div>
<div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;            (GRID_ALGORITHM == GRID_HISTO_SORT) ? 8 : 1&gt; MultiBlockPolicy;</div>
<div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;        <span class="keyword">enum</span> { SUBSCRIPTION_FACTOR = 7 };</div>
<div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;    };</div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;</div>
<div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;    <span class="keyword">template</span> &lt;<span class="keywordtype">int</span> CHANNELS, <span class="keywordtype">int</span> ACTIVE_CHANNELS, BlockHistogramTilesAlgorithm GRID_ALGORITHM&gt;</div>
<div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;    <span class="keyword">struct </span>TunedPolicies&lt;CHANNELS, ACTIVE_CHANNELS, GRID_ALGORITHM, 300&gt;</div>
<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;    {</div>
<div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;        <span class="keyword">typedef</span> BlockHistogramTilesPolicy&lt;</div>
<div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;            128,</div>
<div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;            (GRID_ALGORITHM == GRID_HISTO_SORT) ? 20 : (22 / ACTIVE_CHANNELS),</div>
<div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;            GRID_ALGORITHM,</div>
<div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;            (GRID_ALGORITHM == GRID_HISTO_SORT) ? GRID_MAPPING_DYNAMIC : GRID_MAPPING_EVEN_SHARE,</div>
<div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;            1&gt; MultiBlockPolicy;</div>
<div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;        <span class="keyword">enum</span> { SUBSCRIPTION_FACTOR = 1 };</div>
<div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;    };</div>
<div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;</div>
<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;    <span class="keyword">template</span> &lt;<span class="keywordtype">int</span> CHANNELS, <span class="keywordtype">int</span> ACTIVE_CHANNELS, BlockHistogramTilesAlgorithm GRID_ALGORITHM&gt;</div>
<div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;    <span class="keyword">struct </span>TunedPolicies&lt;CHANNELS, ACTIVE_CHANNELS, GRID_ALGORITHM, 200&gt;</div>
<div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;    {</div>
<div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;        <span class="keyword">typedef</span> BlockHistogramTilesPolicy&lt;</div>
<div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;            128,</div>
<div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;            (GRID_ALGORITHM == GRID_HISTO_SORT) ? 21 : (23 / ACTIVE_CHANNELS),</div>
<div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;            GRID_ALGORITHM,</div>
<div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;            GRID_MAPPING_DYNAMIC,</div>
<div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;            1&gt; MultiBlockPolicy;</div>
<div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;        <span class="keyword">enum</span> { SUBSCRIPTION_FACTOR = 1 };</div>
<div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;    };</div>
<div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;</div>
<div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;    <span class="keyword">template</span> &lt;<span class="keywordtype">int</span> CHANNELS, <span class="keywordtype">int</span> ACTIVE_CHANNELS, BlockHistogramTilesAlgorithm GRID_ALGORITHM&gt;</div>
<div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;    <span class="keyword">struct </span>TunedPolicies&lt;CHANNELS, ACTIVE_CHANNELS, GRID_ALGORITHM, 100&gt;</div>
<div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;    {</div>
<div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;        <span class="keyword">typedef</span> BlockHistogramTilesPolicy&lt;</div>
<div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;            128, </div>
<div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;            7, </div>
<div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;            GRID_HISTO_SORT,        <span class="comment">// (use sort regardless because atomics are perf-useless)</span></div>
<div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;            GRID_MAPPING_EVEN_SHARE,</div>
<div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;            1&gt; MultiBlockPolicy;</div>
<div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;        <span class="keyword">enum</span> { SUBSCRIPTION_FACTOR = 1 };</div>
<div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;    };</div>
<div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;</div>
<div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;</div>
<div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;    <span class="keyword">template</span> &lt;</div>
<div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;        <span class="keywordtype">int</span>                         CHANNELS,</div>
<div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;        <span class="keywordtype">int</span>                         ACTIVE_CHANNELS,</div>
<div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;        BlockHistogramTilesAlgorithm      GRID_ALGORITHM&gt;</div>
<div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;    <span class="keyword">struct </span>PtxDefaultPolicies</div>
<div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;    {</div>
<div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;        <span class="keyword">static</span> <span class="keyword">const</span> <span class="keywordtype">int</span> PTX_TUNE_ARCH =   (<a class="code" href="group___util_module.html#ga76769ce380739b38e0bd00f57e0dbe4f" title="CUB_PTX_ARCH reflects the PTX version targeted by the active compiler pass (or zero during the host p...">CUB_PTX_ARCH</a> &gt;= 350) ?</div>
<div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;                                                350 :</div>
<div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;                                                (<a class="code" href="group___util_module.html#ga76769ce380739b38e0bd00f57e0dbe4f" title="CUB_PTX_ARCH reflects the PTX version targeted by the active compiler pass (or zero during the host p...">CUB_PTX_ARCH</a> &gt;= 300) ?</div>
<div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;                                                    300 :</div>
<div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;                                                    (<a class="code" href="group___util_module.html#ga76769ce380739b38e0bd00f57e0dbe4f" title="CUB_PTX_ARCH reflects the PTX version targeted by the active compiler pass (or zero during the host p...">CUB_PTX_ARCH</a> &gt;= 200) ?</div>
<div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;                                                        200 :</div>
<div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;                                                        100;</div>
<div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;</div>
<div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;        <span class="comment">// Tuned policy set for the current PTX compiler pass</span></div>
<div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;        <span class="keyword">typedef</span> TunedPolicies&lt;CHANNELS, ACTIVE_CHANNELS, GRID_ALGORITHM, PTX_TUNE_ARCH&gt; PtxTunedPolicies;</div>
<div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;</div>
<div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;        <span class="comment">// Subscription factor for the current PTX compiler pass</span></div>
<div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;        <span class="keyword">static</span> <span class="keyword">const</span> <span class="keywordtype">int</span> SUBSCRIPTION_FACTOR = PtxTunedPolicies::SUBSCRIPTION_FACTOR;</div>
<div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;</div>
<div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;        <span class="comment">// MultiBlockPolicy that opaquely derives from the specialization corresponding to the current PTX compiler pass</span></div>
<div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;        <span class="keyword">struct </span>MultiBlockPolicy : PtxTunedPolicies::MultiBlockPolicy {};</div>
<div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;</div>
<div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;        <span class="keyword">static</span> <span class="keywordtype">void</span> InitDispatchParams(<span class="keywordtype">int</span> ptx_version, KernelDispachParams &amp;multi_block_dispatch_params)</div>
<div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;        {</div>
<div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;            <span class="keywordflow">if</span> (ptx_version &gt;= 350)</div>
<div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;            {</div>
<div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;                <span class="keyword">typedef</span> TunedPolicies&lt;CHANNELS, ACTIVE_CHANNELS, GRID_ALGORITHM, 350&gt; TunedPolicies;</div>
<div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;                multi_block_dispatch_params.Init&lt;<span class="keyword">typename</span> TunedPolicies::MultiBlockPolicy&gt;(TunedPolicies::SUBSCRIPTION_FACTOR);</div>
<div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;            }</div>
<div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;            <span class="keywordflow">else</span> <span class="keywordflow">if</span> (ptx_version &gt;= 300)</div>
<div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;            {</div>
<div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;                <span class="keyword">typedef</span> TunedPolicies&lt;CHANNELS, ACTIVE_CHANNELS, GRID_ALGORITHM, 300&gt; TunedPolicies;</div>
<div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;                multi_block_dispatch_params.Init&lt;<span class="keyword">typename</span> TunedPolicies::MultiBlockPolicy&gt;(TunedPolicies::SUBSCRIPTION_FACTOR);</div>
<div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;            }</div>
<div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;            <span class="keywordflow">else</span> <span class="keywordflow">if</span> (ptx_version &gt;= 200)</div>
<div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;            {</div>
<div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;                <span class="keyword">typedef</span> TunedPolicies&lt;CHANNELS, ACTIVE_CHANNELS, GRID_ALGORITHM, 200&gt; TunedPolicies;</div>
<div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;                multi_block_dispatch_params.Init&lt;<span class="keyword">typename</span> TunedPolicies::MultiBlockPolicy&gt;(TunedPolicies::SUBSCRIPTION_FACTOR);</div>
<div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;            }</div>
<div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;            <span class="keywordflow">else</span></div>
<div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;            {</div>
<div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;                <span class="keyword">typedef</span> TunedPolicies&lt;CHANNELS, ACTIVE_CHANNELS, GRID_ALGORITHM, 100&gt; TunedPolicies;</div>
<div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;                multi_block_dispatch_params.Init&lt;<span class="keyword">typename</span> TunedPolicies::MultiBlockPolicy&gt;(TunedPolicies::SUBSCRIPTION_FACTOR);</div>
<div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;            }</div>
<div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;        }</div>
<div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;    };</div>
<div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160;</div>
<div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;</div>
<div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160;    <span class="comment">/******************************************************************************</span></div>
<div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160;<span class="comment">     * Utility methods</span></div>
<div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;<span class="comment">     ******************************************************************************/</span></div>
<div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160;</div>
<div class="line"><a name="l00351"></a><span class="lineno">  351</span>&#160;    <span class="keyword">template</span> &lt;</div>
<div class="line"><a name="l00352"></a><span class="lineno">  352</span>&#160;        <span class="keywordtype">int</span>                         BINS,                               </div>
<div class="line"><a name="l00353"></a><span class="lineno">  353</span>&#160;        <span class="keywordtype">int</span>                         CHANNELS,                           </div>
<div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160;        <span class="keywordtype">int</span>                         ACTIVE_CHANNELS,                    </div>
<div class="line"><a name="l00355"></a><span class="lineno">  355</span>&#160;        <span class="keyword">typename</span>                    InitHistoKernelPtr,                 </div>
<div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160;        <span class="keyword">typename</span>                    MultiBlockHistogramKernelPtr,           </div>
<div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;        <span class="keyword">typename</span>                    AggregateHistoKernelPtr,            </div>
<div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160;        <span class="keyword">typename</span>                    InputIteratorRA,                    </div>
<div class="line"><a name="l00359"></a><span class="lineno">  359</span>&#160;        <span class="keyword">typename</span>                    HistoCounter,                       </div>
<div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;        <span class="keyword">typename</span>                    SizeT&gt;                              </div>
<div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160;    __host__ __device__ __forceinline__</div>
<div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;    <span class="keyword">static</span> cudaError_t Dispatch(</div>
<div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;        <span class="keywordtype">void</span>                        *d_temp_storage,                    </div>
<div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;        <span class="keywordtype">size_t</span>                      &amp;temp_storage_bytes,                </div>
<div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;        InitHistoKernelPtr          init_kernel,                        </div>
<div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;        MultiBlockHistogramKernelPtr    multi_block_kernel,                 </div>
<div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;        AggregateHistoKernelPtr     aggregate_kernel,                   </div>
<div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;        KernelDispachParams         &amp;multi_block_dispatch_params,       </div>
<div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;        InputIteratorRA             d_samples,                          </div>
<div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;        HistoCounter                *d_histograms[ACTIVE_CHANNELS],     </div>
<div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;        SizeT                       num_samples,                        </div>
<div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;        cudaStream_t                stream              = 0,            </div>
<div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;        <span class="keywordtype">bool</span>                        stream_synchronous  = <span class="keyword">false</span>)        </div>
<div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160;    {</div>
<div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;<span class="preprocessor">#ifndef CUB_RUNTIME_ENABLED</span></div>
<div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160;        <span class="comment">// Kernel launch not supported from this device</span></div>
<div class="line"><a name="l00378"></a><span class="lineno">  378</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="group___util_module.html#ga84c3a4c178bf6593e0fad2b763606236" title="Debug macro. ">CubDebug</a>(cudaErrorNotSupported);</div>
<div class="line"><a name="l00379"></a><span class="lineno">  379</span>&#160;</div>
<div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;<span class="preprocessor">#else</span></div>
<div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00382"></a><span class="lineno">  382</span>&#160;        cudaError error = cudaSuccess;</div>
<div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160;        <span class="keywordflow">do</span></div>
<div class="line"><a name="l00384"></a><span class="lineno">  384</span>&#160;        {</div>
<div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;            <span class="comment">// Get device ordinal</span></div>
<div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;            <span class="keywordtype">int</span> device_ordinal;</div>
<div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;            <span class="keywordflow">if</span> (<a class="code" href="group___util_module.html#ga84c3a4c178bf6593e0fad2b763606236" title="Debug macro. ">CubDebug</a>(error = cudaGetDevice(&amp;device_ordinal))) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;</div>
<div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;            <span class="comment">// Get SM count</span></div>
<div class="line"><a name="l00390"></a><span class="lineno">  390</span>&#160;            <span class="keywordtype">int</span> sm_count;</div>
<div class="line"><a name="l00391"></a><span class="lineno">  391</span>&#160;            <span class="keywordflow">if</span> (<a class="code" href="group___util_module.html#ga84c3a4c178bf6593e0fad2b763606236" title="Debug macro. ">CubDebug</a>(error = cudaDeviceGetAttribute (&amp;sm_count, cudaDevAttrMultiProcessorCount, device_ordinal))) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00392"></a><span class="lineno">  392</span>&#160;</div>
<div class="line"><a name="l00393"></a><span class="lineno">  393</span>&#160;            <span class="comment">// Get a rough estimate of multi_block_kernel SM occupancy based upon the maximum SM occupancy of the targeted PTX architecture</span></div>
<div class="line"><a name="l00394"></a><span class="lineno">  394</span>&#160;            <span class="keywordtype">int</span> multi_block_sm_occupancy = CUB_MIN(</div>
<div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;                <a class="code" href="structcub_1_1_arch_props.html" title="Structure for statically reporting CUDA device properties, parameterized by SM architecture. ">ArchProps&lt;CUB_PTX_ARCH&gt;::MAX_SM_THREADBLOCKS</a>,</div>
<div class="line"><a name="l00396"></a><span class="lineno">  396</span>&#160;                <a class="code" href="structcub_1_1_arch_props.html" title="Structure for statically reporting CUDA device properties, parameterized by SM architecture. ">ArchProps&lt;CUB_PTX_ARCH&gt;::MAX_SM_THREADS</a> / multi_block_dispatch_params.block_threads);</div>
<div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;</div>
<div class="line"><a name="l00398"></a><span class="lineno">  398</span>&#160;<span class="preprocessor">#ifndef __CUDA_ARCH__</span></div>
<div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160;<span class="preprocessor"></span>            <span class="comment">// We&#39;re on the host, so come up with a more accurate estimate of multi_block_kernel SM occupancy from actual device properties</span></div>
<div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160;            <a class="code" href="classcub_1_1_device.html" title="Properties of a given CUDA device and the corresponding PTX bundle. ">Device</a> device_props;</div>
<div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160;            <span class="keywordflow">if</span> (<a class="code" href="group___util_module.html#ga84c3a4c178bf6593e0fad2b763606236" title="Debug macro. ">CubDebug</a>(error = device_props.<a class="code" href="classcub_1_1_device.html#a4c1aecec381d2dce80120362feb2d0ca">Init</a>(device_ordinal))) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00402"></a><span class="lineno">  402</span>&#160;</div>
<div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;            <span class="keywordflow">if</span> (<a class="code" href="group___util_module.html#ga84c3a4c178bf6593e0fad2b763606236" title="Debug macro. ">CubDebug</a>(error = device_props.<a class="code" href="classcub_1_1_device.html#a618bbf36a5737a9b1533ff65834e88e8">MaxSmOccupancy</a>(</div>
<div class="line"><a name="l00404"></a><span class="lineno">  404</span>&#160;                multi_block_sm_occupancy,</div>
<div class="line"><a name="l00405"></a><span class="lineno">  405</span>&#160;                multi_block_kernel,</div>
<div class="line"><a name="l00406"></a><span class="lineno">  406</span>&#160;                multi_block_dispatch_params.block_threads))) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160;            <span class="comment">// Get device occupancy for multi_block_kernel</span></div>
<div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;            <span class="keywordtype">int</span> multi_block_occupancy = multi_block_sm_occupancy * sm_count;</div>
<div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160;</div>
<div class="line"><a name="l00412"></a><span class="lineno">  412</span>&#160;            <span class="comment">// Even-share work distribution</span></div>
<div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160;            GridEvenShare&lt;SizeT&gt; even_share;</div>
<div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160;</div>
<div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160;            <span class="comment">// Get tile size for multi_block_kernel</span></div>
<div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;            <span class="keywordtype">int</span> multi_block_tile_size = multi_block_dispatch_params.channel_tile_size * CHANNELS;</div>
<div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;</div>
<div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160;            <span class="comment">// Get grid size for multi_block_kernel</span></div>
<div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;            <span class="keywordtype">int</span> multi_block_grid_size;</div>
<div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160;            <span class="keywordflow">switch</span> (multi_block_dispatch_params.grid_mapping)</div>
<div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;            {</div>
<div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160;            <span class="keywordflow">case</span> GRID_MAPPING_EVEN_SHARE:</div>
<div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160;</div>
<div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160;                <span class="comment">// Work is distributed evenly</span></div>
<div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;                even_share.GridInit(</div>
<div class="line"><a name="l00426"></a><span class="lineno">  426</span>&#160;                    num_samples,</div>
<div class="line"><a name="l00427"></a><span class="lineno">  427</span>&#160;                    multi_block_occupancy * multi_block_dispatch_params.subscription_factor,</div>
<div class="line"><a name="l00428"></a><span class="lineno">  428</span>&#160;                    multi_block_tile_size);</div>
<div class="line"><a name="l00429"></a><span class="lineno">  429</span>&#160;                multi_block_grid_size = even_share.grid_size;</div>
<div class="line"><a name="l00430"></a><span class="lineno">  430</span>&#160;                <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00431"></a><span class="lineno">  431</span>&#160;</div>
<div class="line"><a name="l00432"></a><span class="lineno">  432</span>&#160;            <span class="keywordflow">case</span> GRID_MAPPING_DYNAMIC:</div>
<div class="line"><a name="l00433"></a><span class="lineno">  433</span>&#160;</div>
<div class="line"><a name="l00434"></a><span class="lineno">  434</span>&#160;                <span class="comment">// Work is distributed dynamically</span></div>
<div class="line"><a name="l00435"></a><span class="lineno">  435</span>&#160;                <span class="keywordtype">int</span> num_tiles           = (num_samples + multi_block_tile_size - 1) / multi_block_tile_size;</div>
<div class="line"><a name="l00436"></a><span class="lineno">  436</span>&#160;                multi_block_grid_size   = (num_tiles &lt; multi_block_occupancy) ?</div>
<div class="line"><a name="l00437"></a><span class="lineno">  437</span>&#160;                    num_tiles :                 <span class="comment">// Not enough to fill the device with threadblocks</span></div>
<div class="line"><a name="l00438"></a><span class="lineno">  438</span>&#160;                    multi_block_occupancy;      <span class="comment">// Fill the device with threadblocks</span></div>
<div class="line"><a name="l00439"></a><span class="lineno">  439</span>&#160;                <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00440"></a><span class="lineno">  440</span>&#160;            };</div>
<div class="line"><a name="l00441"></a><span class="lineno">  441</span>&#160;</div>
<div class="line"><a name="l00442"></a><span class="lineno">  442</span>&#160;            <span class="comment">// Temporary storage allocation requirements</span></div>
<div class="line"><a name="l00443"></a><span class="lineno">  443</span>&#160;            <span class="keywordtype">void</span>* allocations[2];</div>
<div class="line"><a name="l00444"></a><span class="lineno">  444</span>&#160;            <span class="keywordtype">size_t</span> allocation_sizes[2] =</div>
<div class="line"><a name="l00445"></a><span class="lineno">  445</span>&#160;            {</div>
<div class="line"><a name="l00446"></a><span class="lineno">  446</span>&#160;                ACTIVE_CHANNELS * multi_block_grid_size * <span class="keyword">sizeof</span>(HistoCounter) * BINS,      <span class="comment">// bytes needed for privatized histograms</span></div>
<div class="line"><a name="l00447"></a><span class="lineno">  447</span>&#160;                GridQueue&lt;int&gt;::AllocationSize()                                            <span class="comment">// bytes needed for grid queue descriptor</span></div>
<div class="line"><a name="l00448"></a><span class="lineno">  448</span>&#160;            };</div>
<div class="line"><a name="l00449"></a><span class="lineno">  449</span>&#160;</div>
<div class="line"><a name="l00450"></a><span class="lineno">  450</span>&#160;            <span class="keywordflow">if</span> (<a class="code" href="group___util_module.html#ga84c3a4c178bf6593e0fad2b763606236" title="Debug macro. ">CubDebug</a>(error = AliasTemporaries(d_temp_storage, temp_storage_bytes, allocations, allocation_sizes))) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00451"></a><span class="lineno">  451</span>&#160;</div>
<div class="line"><a name="l00452"></a><span class="lineno">  452</span>&#160;            <span class="comment">// Return if the caller is simply requesting the size of the storage allocation</span></div>
<div class="line"><a name="l00453"></a><span class="lineno">  453</span>&#160;            <span class="keywordflow">if</span> (d_temp_storage == NULL)</div>
<div class="line"><a name="l00454"></a><span class="lineno">  454</span>&#160;                <span class="keywordflow">return</span> cudaSuccess;</div>
<div class="line"><a name="l00455"></a><span class="lineno">  455</span>&#160;</div>
<div class="line"><a name="l00456"></a><span class="lineno">  456</span>&#160;            <span class="comment">// Privatized per-block reductions</span></div>
<div class="line"><a name="l00457"></a><span class="lineno">  457</span>&#160;            HistoCounter *d_block_histograms = (HistoCounter*) allocations[0];</div>
<div class="line"><a name="l00458"></a><span class="lineno">  458</span>&#160;</div>
<div class="line"><a name="l00459"></a><span class="lineno">  459</span>&#160;            <span class="comment">// Grid queue descriptor</span></div>
<div class="line"><a name="l00460"></a><span class="lineno">  460</span>&#160;            GridQueue&lt;SizeT&gt; queue(allocations[1]);</div>
<div class="line"><a name="l00461"></a><span class="lineno">  461</span>&#160;</div>
<div class="line"><a name="l00462"></a><span class="lineno">  462</span>&#160;            <span class="comment">// Setup array wrapper for histogram channel output (because we can&#39;t pass static arrays as kernel parameters)</span></div>
<div class="line"><a name="l00463"></a><span class="lineno">  463</span>&#160;            <a class="code" href="structcub_1_1_array_wrapper.html" title="A wrapper for passing simple static arrays as kernel parameters. ">ArrayWrapper&lt;HistoCounter*, ACTIVE_CHANNELS&gt;</a> d_histo_wrapper;</div>
<div class="line"><a name="l00464"></a><span class="lineno">  464</span>&#160;            <span class="keywordflow">for</span> (<span class="keywordtype">int</span> CHANNEL = 0; CHANNEL &lt; ACTIVE_CHANNELS; ++CHANNEL)</div>
<div class="line"><a name="l00465"></a><span class="lineno">  465</span>&#160;                d_histo_wrapper.<a class="code" href="structcub_1_1_array_wrapper.html#ae665a1b28a83513db861072328de9551" title="Static array of type T. ">array</a>[CHANNEL] = d_histograms[CHANNEL];</div>
<div class="line"><a name="l00466"></a><span class="lineno">  466</span>&#160;</div>
<div class="line"><a name="l00467"></a><span class="lineno">  467</span>&#160;            <span class="comment">// Setup array wrapper for temporary histogram channel output (because we can&#39;t pass static arrays as kernel parameters)</span></div>
<div class="line"><a name="l00468"></a><span class="lineno">  468</span>&#160;            <a class="code" href="structcub_1_1_array_wrapper.html" title="A wrapper for passing simple static arrays as kernel parameters. ">ArrayWrapper&lt;HistoCounter*, ACTIVE_CHANNELS&gt;</a> d_temp_histo_wrapper;</div>
<div class="line"><a name="l00469"></a><span class="lineno">  469</span>&#160;            for (<span class="keywordtype">int</span> CHANNEL = 0; CHANNEL &lt; ACTIVE_CHANNELS; ++CHANNEL)</div>
<div class="line"><a name="l00470"></a><span class="lineno">  470</span>&#160;                d_temp_histo_wrapper.<a class="code" href="structcub_1_1_array_wrapper.html#ae665a1b28a83513db861072328de9551" title="Static array of type T. ">array</a>[CHANNEL] = d_block_histograms + (CHANNEL * multi_block_grid_size * BINS);</div>
<div class="line"><a name="l00471"></a><span class="lineno">  471</span>&#160;</div>
<div class="line"><a name="l00472"></a><span class="lineno">  472</span>&#160;            <span class="comment">// Log init_kernel configuration</span></div>
<div class="line"><a name="l00473"></a><span class="lineno">  473</span>&#160;            <span class="keywordflow">if</span> (stream_synchronous) <a class="code" href="group___util_module.html#ga6788287a780dc10c443aa1ab5ae9f0db" title="Log macro for printf statements. ">CubLog</a>(<span class="stringliteral">&quot;Invoking init_kernel&lt;&lt;&lt;%d, %d, 0, %lld&gt;&gt;&gt;()\n&quot;</span>, ACTIVE_CHANNELS, BINS, (<span class="keywordtype">long</span> <span class="keywordtype">long</span>) stream);</div>
<div class="line"><a name="l00474"></a><span class="lineno">  474</span>&#160;</div>
<div class="line"><a name="l00475"></a><span class="lineno">  475</span>&#160;            <span class="comment">// Invoke init_kernel to initialize counters and queue descriptor</span></div>
<div class="line"><a name="l00476"></a><span class="lineno">  476</span>&#160;            init_kernel&lt;&lt;&lt;ACTIVE_CHANNELS, BINS, 0, stream&gt;&gt;&gt;(queue, d_histo_wrapper, num_samples);</div>
<div class="line"><a name="l00477"></a><span class="lineno">  477</span>&#160;</div>
<div class="line"><a name="l00478"></a><span class="lineno">  478</span>&#160;            <span class="comment">// Sync the stream if specified</span></div>
<div class="line"><a name="l00479"></a><span class="lineno">  479</span>&#160;            <span class="keywordflow">if</span> (stream_synchronous &amp;&amp; (<a class="code" href="group___util_module.html#ga84c3a4c178bf6593e0fad2b763606236" title="Debug macro. ">CubDebug</a>(error = SyncStream(stream)))) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00480"></a><span class="lineno">  480</span>&#160;</div>
<div class="line"><a name="l00481"></a><span class="lineno">  481</span>&#160;            <span class="comment">// Whether we need privatized histograms (i.e., non-global atomics and multi-block)</span></div>
<div class="line"><a name="l00482"></a><span class="lineno">  482</span>&#160;            <span class="keywordtype">bool</span> privatized_temporaries = (multi_block_grid_size &gt; 1) &amp;&amp; (multi_block_dispatch_params.block_algorithm != GRID_HISTO_GLOBAL_ATOMIC);</div>
<div class="line"><a name="l00483"></a><span class="lineno">  483</span>&#160;</div>
<div class="line"><a name="l00484"></a><span class="lineno">  484</span>&#160;            <span class="comment">// Log multi_block_kernel configuration</span></div>
<div class="line"><a name="l00485"></a><span class="lineno">  485</span>&#160;            <span class="keywordflow">if</span> (stream_synchronous) <a class="code" href="group___util_module.html#ga6788287a780dc10c443aa1ab5ae9f0db" title="Log macro for printf statements. ">CubLog</a>(<span class="stringliteral">&quot;Invoking multi_block_kernel&lt;&lt;&lt;%d, %d, 0, %lld&gt;&gt;&gt;(), %d items per thread, %d SM occupancy\n&quot;</span>,</div>
<div class="line"><a name="l00486"></a><span class="lineno">  486</span>&#160;                multi_block_grid_size, multi_block_dispatch_params.block_threads, (<span class="keywordtype">long</span> <span class="keywordtype">long</span>) stream, multi_block_dispatch_params.items_per_thread, multi_block_sm_occupancy);</div>
<div class="line"><a name="l00487"></a><span class="lineno">  487</span>&#160;</div>
<div class="line"><a name="l00488"></a><span class="lineno">  488</span>&#160;            <span class="comment">// Invoke multi_block_kernel</span></div>
<div class="line"><a name="l00489"></a><span class="lineno">  489</span>&#160;            multi_block_kernel&lt;&lt;&lt;multi_block_grid_size, multi_block_dispatch_params.block_threads, 0, stream&gt;&gt;&gt;(</div>
<div class="line"><a name="l00490"></a><span class="lineno">  490</span>&#160;                d_samples,</div>
<div class="line"><a name="l00491"></a><span class="lineno">  491</span>&#160;                (privatized_temporaries) ?</div>
<div class="line"><a name="l00492"></a><span class="lineno">  492</span>&#160;                    d_temp_histo_wrapper :</div>
<div class="line"><a name="l00493"></a><span class="lineno">  493</span>&#160;                    d_histo_wrapper,</div>
<div class="line"><a name="l00494"></a><span class="lineno">  494</span>&#160;                num_samples,</div>
<div class="line"><a name="l00495"></a><span class="lineno">  495</span>&#160;                even_share,</div>
<div class="line"><a name="l00496"></a><span class="lineno">  496</span>&#160;                queue);</div>
<div class="line"><a name="l00497"></a><span class="lineno">  497</span>&#160;</div>
<div class="line"><a name="l00498"></a><span class="lineno">  498</span>&#160;            <span class="comment">// Sync the stream if specified</span></div>
<div class="line"><a name="l00499"></a><span class="lineno">  499</span>&#160;            <span class="keywordflow">if</span> (stream_synchronous &amp;&amp; (<a class="code" href="group___util_module.html#ga84c3a4c178bf6593e0fad2b763606236" title="Debug macro. ">CubDebug</a>(error = SyncStream(stream)))) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00500"></a><span class="lineno">  500</span>&#160;</div>
<div class="line"><a name="l00501"></a><span class="lineno">  501</span>&#160;            <span class="comment">// Aggregate privatized block histograms if necessary</span></div>
<div class="line"><a name="l00502"></a><span class="lineno">  502</span>&#160;            <span class="keywordflow">if</span> (privatized_temporaries)</div>
<div class="line"><a name="l00503"></a><span class="lineno">  503</span>&#160;            {</div>
<div class="line"><a name="l00504"></a><span class="lineno">  504</span>&#160;                <span class="comment">// Log aggregate_kernel configuration</span></div>
<div class="line"><a name="l00505"></a><span class="lineno">  505</span>&#160;                <span class="keywordflow">if</span> (stream_synchronous) <a class="code" href="group___util_module.html#ga6788287a780dc10c443aa1ab5ae9f0db" title="Log macro for printf statements. ">CubLog</a>(<span class="stringliteral">&quot;Invoking aggregate_kernel&lt;&lt;&lt;%d, %d, 0, %lld&gt;&gt;&gt;()\n&quot;</span>,</div>
<div class="line"><a name="l00506"></a><span class="lineno">  506</span>&#160;                    ACTIVE_CHANNELS, BINS, (<span class="keywordtype">long</span> <span class="keywordtype">long</span>) stream);</div>
<div class="line"><a name="l00507"></a><span class="lineno">  507</span>&#160;</div>
<div class="line"><a name="l00508"></a><span class="lineno">  508</span>&#160;                <span class="comment">// Invoke aggregate_kernel</span></div>
<div class="line"><a name="l00509"></a><span class="lineno">  509</span>&#160;                aggregate_kernel&lt;&lt;&lt;ACTIVE_CHANNELS, BINS, 0, stream&gt;&gt;&gt;(</div>
<div class="line"><a name="l00510"></a><span class="lineno">  510</span>&#160;                    d_block_histograms,</div>
<div class="line"><a name="l00511"></a><span class="lineno">  511</span>&#160;                    d_histo_wrapper,</div>
<div class="line"><a name="l00512"></a><span class="lineno">  512</span>&#160;                    multi_block_grid_size);</div>
<div class="line"><a name="l00513"></a><span class="lineno">  513</span>&#160;</div>
<div class="line"><a name="l00514"></a><span class="lineno">  514</span>&#160;                <span class="comment">// Sync the stream if specified</span></div>
<div class="line"><a name="l00515"></a><span class="lineno">  515</span>&#160;                <span class="keywordflow">if</span> (stream_synchronous &amp;&amp; (<a class="code" href="group___util_module.html#ga84c3a4c178bf6593e0fad2b763606236" title="Debug macro. ">CubDebug</a>(error = SyncStream(stream)))) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00516"></a><span class="lineno">  516</span>&#160;            }</div>
<div class="line"><a name="l00517"></a><span class="lineno">  517</span>&#160;        }</div>
<div class="line"><a name="l00518"></a><span class="lineno">  518</span>&#160;        <span class="keywordflow">while</span> (0);</div>
<div class="line"><a name="l00519"></a><span class="lineno">  519</span>&#160;</div>
<div class="line"><a name="l00520"></a><span class="lineno">  520</span>&#160;        <span class="keywordflow">return</span> error;</div>
<div class="line"><a name="l00521"></a><span class="lineno">  521</span>&#160;<span class="preprocessor">#endif // CUB_RUNTIME_ENABLED</span></div>
<div class="line"><a name="l00522"></a><span class="lineno">  522</span>&#160;<span class="preprocessor"></span>    }</div>
<div class="line"><a name="l00523"></a><span class="lineno">  523</span>&#160;</div>
<div class="line"><a name="l00524"></a><span class="lineno">  524</span>&#160;</div>
<div class="line"><a name="l00534"></a><span class="lineno">  534</span>&#160;    <span class="keyword">template</span> &lt;</div>
<div class="line"><a name="l00535"></a><span class="lineno">  535</span>&#160;        BlockHistogramTilesAlgorithm    GRID_ALGORITHM,</div>
<div class="line"><a name="l00536"></a><span class="lineno">  536</span>&#160;        <span class="keywordtype">int</span>                         BINS,                       </div>
<div class="line"><a name="l00537"></a><span class="lineno">  537</span>&#160;        <span class="keywordtype">int</span>                         CHANNELS,                   </div>
<div class="line"><a name="l00538"></a><span class="lineno">  538</span>&#160;        <span class="keywordtype">int</span>                         ACTIVE_CHANNELS,            </div>
<div class="line"><a name="l00539"></a><span class="lineno">  539</span>&#160;        <span class="keyword">typename</span>                    InputIteratorRA,            </div>
<div class="line"><a name="l00540"></a><span class="lineno">  540</span>&#160;        <span class="keyword">typename</span>                    HistoCounter&gt;               </div>
<div class="line"><a name="l00541"></a><span class="lineno">  541</span>&#160;    __host__ __device__ __forceinline__</div>
<div class="line"><a name="l00542"></a><span class="lineno">  542</span>&#160;    <span class="keyword">static</span> cudaError_t Dispatch(</div>
<div class="line"><a name="l00543"></a><span class="lineno">  543</span>&#160;        <span class="keywordtype">void</span>                *d_temp_storage,                    </div>
<div class="line"><a name="l00544"></a><span class="lineno">  544</span>&#160;        <span class="keywordtype">size_t</span>              &amp;temp_storage_bytes,                </div>
<div class="line"><a name="l00545"></a><span class="lineno">  545</span>&#160;        InputIteratorRA     d_samples,                          </div>
<div class="line"><a name="l00546"></a><span class="lineno">  546</span>&#160;        HistoCounter        *d_histograms[ACTIVE_CHANNELS],     </div>
<div class="line"><a name="l00547"></a><span class="lineno">  547</span>&#160;        <span class="keywordtype">int</span>                 num_samples,                        </div>
<div class="line"><a name="l00548"></a><span class="lineno">  548</span>&#160;        cudaStream_t        stream              = 0,            </div>
<div class="line"><a name="l00549"></a><span class="lineno">  549</span>&#160;        <span class="keywordtype">bool</span>                stream_synchronous  = <span class="keyword">false</span>)        </div>
<div class="line"><a name="l00550"></a><span class="lineno">  550</span>&#160;    {</div>
<div class="line"><a name="l00551"></a><span class="lineno">  551</span>&#160;        <span class="comment">// Type used for array indexing</span></div>
<div class="line"><a name="l00552"></a><span class="lineno">  552</span>&#160;        <span class="keyword">typedef</span> <span class="keywordtype">int</span> SizeT;</div>
<div class="line"><a name="l00553"></a><span class="lineno">  553</span>&#160;</div>
<div class="line"><a name="l00554"></a><span class="lineno">  554</span>&#160;        <span class="comment">// Tuning polices for the PTX architecture that will get dispatched to</span></div>
<div class="line"><a name="l00555"></a><span class="lineno">  555</span>&#160;        <span class="keyword">typedef</span> PtxDefaultPolicies&lt;CHANNELS, ACTIVE_CHANNELS, GRID_ALGORITHM&gt; PtxDefaultPolicies;</div>
<div class="line"><a name="l00556"></a><span class="lineno">  556</span>&#160;        <span class="keyword">typedef</span> <span class="keyword">typename</span> PtxDefaultPolicies::MultiBlockPolicy MultiBlockPolicy;</div>
<div class="line"><a name="l00557"></a><span class="lineno">  557</span>&#160;</div>
<div class="line"><a name="l00558"></a><span class="lineno">  558</span>&#160;        cudaError error = cudaSuccess;</div>
<div class="line"><a name="l00559"></a><span class="lineno">  559</span>&#160;        <span class="keywordflow">do</span></div>
<div class="line"><a name="l00560"></a><span class="lineno">  560</span>&#160;        {</div>
<div class="line"><a name="l00561"></a><span class="lineno">  561</span>&#160;            <span class="comment">// Declare dispatch parameters</span></div>
<div class="line"><a name="l00562"></a><span class="lineno">  562</span>&#160;            KernelDispachParams multi_block_dispatch_params;</div>
<div class="line"><a name="l00563"></a><span class="lineno">  563</span>&#160;</div>
<div class="line"><a name="l00564"></a><span class="lineno">  564</span>&#160;<span class="preprocessor">        #ifdef __CUDA_ARCH__</span></div>
<div class="line"><a name="l00565"></a><span class="lineno">  565</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00566"></a><span class="lineno">  566</span>&#160;            <span class="comment">// We&#39;re on the device, so initialize the dispatch parameters with the PtxDefaultPolicies directly</span></div>
<div class="line"><a name="l00567"></a><span class="lineno">  567</span>&#160;            multi_block_dispatch_params.Init&lt;MultiBlockPolicy&gt;(PtxDefaultPolicies::SUBSCRIPTION_FACTOR);</div>
<div class="line"><a name="l00568"></a><span class="lineno">  568</span>&#160;</div>
<div class="line"><a name="l00569"></a><span class="lineno">  569</span>&#160;<span class="preprocessor">        #else</span></div>
<div class="line"><a name="l00570"></a><span class="lineno">  570</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00571"></a><span class="lineno">  571</span>&#160;            <span class="comment">// We&#39;re on the host, so lookup and initialize the dispatch parameters with the policies that match the device&#39;s PTX version</span></div>
<div class="line"><a name="l00572"></a><span class="lineno">  572</span>&#160;            <span class="keywordtype">int</span> ptx_version;</div>
<div class="line"><a name="l00573"></a><span class="lineno">  573</span>&#160;            <span class="keywordflow">if</span> (<a class="code" href="group___util_module.html#ga84c3a4c178bf6593e0fad2b763606236" title="Debug macro. ">CubDebug</a>(error = <a class="code" href="group___util_module.html#gac3d86a53650d110862fe8a84fce61c2e" title="Retrieves the PTX version (major * 100 + minor * 10) ">PtxVersion</a>(ptx_version))) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00574"></a><span class="lineno">  574</span>&#160;            PtxDefaultPolicies::InitDispatchParams(ptx_version, multi_block_dispatch_params);</div>
<div class="line"><a name="l00575"></a><span class="lineno">  575</span>&#160;</div>
<div class="line"><a name="l00576"></a><span class="lineno">  576</span>&#160;<span class="preprocessor">        #endif</span></div>
<div class="line"><a name="l00577"></a><span class="lineno">  577</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00578"></a><span class="lineno">  578</span>&#160;            Dispatch&lt;BINS, CHANNELS, ACTIVE_CHANNELS&gt;(</div>
<div class="line"><a name="l00579"></a><span class="lineno">  579</span>&#160;                d_temp_storage,</div>
<div class="line"><a name="l00580"></a><span class="lineno">  580</span>&#160;                temp_storage_bytes,</div>
<div class="line"><a name="l00581"></a><span class="lineno">  581</span>&#160;                InitHistoKernel&lt;BINS, ACTIVE_CHANNELS, SizeT, HistoCounter&gt;,</div>
<div class="line"><a name="l00582"></a><span class="lineno">  582</span>&#160;                MultiBlockHistogramKernel&lt;MultiBlockPolicy, BINS, CHANNELS, ACTIVE_CHANNELS, InputIteratorRA, HistoCounter, SizeT&gt;,</div>
<div class="line"><a name="l00583"></a><span class="lineno">  583</span>&#160;                AggregateHistoKernel&lt;BINS, ACTIVE_CHANNELS, HistoCounter&gt;,</div>
<div class="line"><a name="l00584"></a><span class="lineno">  584</span>&#160;                multi_block_dispatch_params,</div>
<div class="line"><a name="l00585"></a><span class="lineno">  585</span>&#160;                d_samples,</div>
<div class="line"><a name="l00586"></a><span class="lineno">  586</span>&#160;                d_histograms,</div>
<div class="line"><a name="l00587"></a><span class="lineno">  587</span>&#160;                num_samples,</div>
<div class="line"><a name="l00588"></a><span class="lineno">  588</span>&#160;                stream,</div>
<div class="line"><a name="l00589"></a><span class="lineno">  589</span>&#160;                stream_synchronous);</div>
<div class="line"><a name="l00590"></a><span class="lineno">  590</span>&#160;</div>
<div class="line"><a name="l00591"></a><span class="lineno">  591</span>&#160;            <span class="keywordflow">if</span> (<a class="code" href="group___util_module.html#ga84c3a4c178bf6593e0fad2b763606236" title="Debug macro. ">CubDebug</a>(error)) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00592"></a><span class="lineno">  592</span>&#160;        }</div>
<div class="line"><a name="l00593"></a><span class="lineno">  593</span>&#160;        <span class="keywordflow">while</span> (0);</div>
<div class="line"><a name="l00594"></a><span class="lineno">  594</span>&#160;</div>
<div class="line"><a name="l00595"></a><span class="lineno">  595</span>&#160;        <span class="keywordflow">return</span> error;</div>
<div class="line"><a name="l00596"></a><span class="lineno">  596</span>&#160;    }</div>
<div class="line"><a name="l00597"></a><span class="lineno">  597</span>&#160;</div>
<div class="line"><a name="l00598"></a><span class="lineno">  598</span>&#160;<span class="preprocessor">    #endif // DOXYGEN_SHOULD_SKIP_THIS</span></div>
<div class="line"><a name="l00599"></a><span class="lineno">  599</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00600"></a><span class="lineno">  600</span>&#160;</div>
<div class="line"><a name="l00601"></a><span class="lineno">  601</span>&#160;    <span class="comment">/******************************************************************/</span></div>
<div class="line"><a name="l00605"></a><span class="lineno">  605</span>&#160;</div>
<div class="line"><a name="l00606"></a><span class="lineno">  606</span>&#160;</div>
<div class="line"><a name="l00658"></a><span class="lineno">  658</span>&#160;    <span class="keyword">template</span> &lt;</div>
<div class="line"><a name="l00659"></a><span class="lineno">  659</span>&#160;        <span class="keywordtype">int</span>                 BINS,</div>
<div class="line"><a name="l00660"></a><span class="lineno">  660</span>&#160;        <span class="keyword">typename</span>            InputIteratorRA,</div>
<div class="line"><a name="l00661"></a><span class="lineno">  661</span>&#160;        <span class="keyword">typename</span>            HistoCounter&gt;</div>
<div class="line"><a name="l00662"></a><span class="lineno">  662</span>&#160;    __host__ __device__ __forceinline__</div>
<div class="line"><a name="l00663"></a><span class="lineno"><a class="code" href="structcub_1_1_device_histogram.html#ad0cc7bacd6022916cb228437eeb9c82a">  663</a></span>&#160;    <span class="keyword">static</span> cudaError_t <a class="code" href="structcub_1_1_device_histogram.html#ad0cc7bacd6022916cb228437eeb9c82a" title="Computes a device-wide histogram. Uses fast block-sorting to compute the histogram. Delivers consistent throughput regardless of sample diversity, but occupancy may be limited by histogram bin count. ">SingleChannelSorting</a>(</div>
<div class="line"><a name="l00664"></a><span class="lineno">  664</span>&#160;        <span class="keywordtype">void</span>                *d_temp_storage,                    </div>
<div class="line"><a name="l00665"></a><span class="lineno">  665</span>&#160;        <span class="keywordtype">size_t</span>              &amp;temp_storage_bytes,                </div>
<div class="line"><a name="l00666"></a><span class="lineno">  666</span>&#160;        InputIteratorRA     d_samples,                          </div>
<div class="line"><a name="l00667"></a><span class="lineno">  667</span>&#160;        HistoCounter*       d_histogram,                        </div>
<div class="line"><a name="l00668"></a><span class="lineno">  668</span>&#160;        <span class="keywordtype">int</span>                 num_samples,                        </div>
<div class="line"><a name="l00669"></a><span class="lineno">  669</span>&#160;        cudaStream_t        stream              = 0,            </div>
<div class="line"><a name="l00670"></a><span class="lineno">  670</span>&#160;        <span class="keywordtype">bool</span>                stream_synchronous  = <span class="keyword">false</span>)        </div>
<div class="line"><a name="l00671"></a><span class="lineno">  671</span>&#160;    {</div>
<div class="line"><a name="l00672"></a><span class="lineno">  672</span>&#160;        <span class="keywordflow">return</span> Dispatch&lt;GRID_HISTO_SORT, BINS, 1, 1&gt;(</div>
<div class="line"><a name="l00673"></a><span class="lineno">  673</span>&#160;            d_temp_storage, temp_storage_bytes, d_samples, &amp;d_histogram, num_samples, stream, stream_synchronous);</div>
<div class="line"><a name="l00674"></a><span class="lineno">  674</span>&#160;    }</div>
<div class="line"><a name="l00675"></a><span class="lineno">  675</span>&#160;</div>
<div class="line"><a name="l00676"></a><span class="lineno">  676</span>&#160;</div>
<div class="line"><a name="l00728"></a><span class="lineno">  728</span>&#160;    <span class="keyword">template</span> &lt;</div>
<div class="line"><a name="l00729"></a><span class="lineno">  729</span>&#160;        <span class="keywordtype">int</span>                 BINS,</div>
<div class="line"><a name="l00730"></a><span class="lineno">  730</span>&#160;        <span class="keyword">typename</span>            InputIteratorRA,</div>
<div class="line"><a name="l00731"></a><span class="lineno">  731</span>&#160;        <span class="keyword">typename</span>            HistoCounter&gt;</div>
<div class="line"><a name="l00732"></a><span class="lineno">  732</span>&#160;    __host__ __device__ __forceinline__</div>
<div class="line"><a name="l00733"></a><span class="lineno"><a class="code" href="structcub_1_1_device_histogram.html#a425559a4dc730f55f46e0faa5080e266">  733</a></span>&#160;    <span class="keyword">static</span> cudaError_t <a class="code" href="structcub_1_1_device_histogram.html#a425559a4dc730f55f46e0faa5080e266" title="Computes a device-wide histogram. Uses shared-memory atomic read-modify-write operations to compute t...">SingleChannelSharedAtomic</a>(</div>
<div class="line"><a name="l00734"></a><span class="lineno">  734</span>&#160;        <span class="keywordtype">void</span>                *d_temp_storage,                    </div>
<div class="line"><a name="l00735"></a><span class="lineno">  735</span>&#160;        <span class="keywordtype">size_t</span>              &amp;temp_storage_bytes,                </div>
<div class="line"><a name="l00736"></a><span class="lineno">  736</span>&#160;        InputIteratorRA     d_samples,                          </div>
<div class="line"><a name="l00737"></a><span class="lineno">  737</span>&#160;        HistoCounter*       d_histogram,                        </div>
<div class="line"><a name="l00738"></a><span class="lineno">  738</span>&#160;        <span class="keywordtype">int</span>                 num_samples,                        </div>
<div class="line"><a name="l00739"></a><span class="lineno">  739</span>&#160;        cudaStream_t        stream              = 0,            </div>
<div class="line"><a name="l00740"></a><span class="lineno">  740</span>&#160;        <span class="keywordtype">bool</span>                stream_synchronous  = <span class="keyword">false</span>)        </div>
<div class="line"><a name="l00741"></a><span class="lineno">  741</span>&#160;    {</div>
<div class="line"><a name="l00742"></a><span class="lineno">  742</span>&#160;        <span class="keywordflow">return</span> Dispatch&lt;GRID_HISTO_SHARED_ATOMIC, BINS, 1, 1&gt;(</div>
<div class="line"><a name="l00743"></a><span class="lineno">  743</span>&#160;            d_temp_storage, temp_storage_bytes, d_samples, &amp;d_histogram, num_samples, stream, stream_synchronous);</div>
<div class="line"><a name="l00744"></a><span class="lineno">  744</span>&#160;    }</div>
<div class="line"><a name="l00745"></a><span class="lineno">  745</span>&#160;</div>
<div class="line"><a name="l00746"></a><span class="lineno">  746</span>&#160;</div>
<div class="line"><a name="l00797"></a><span class="lineno">  797</span>&#160;    <span class="keyword">template</span> &lt;</div>
<div class="line"><a name="l00798"></a><span class="lineno">  798</span>&#160;        <span class="keywordtype">int</span>                 BINS,</div>
<div class="line"><a name="l00799"></a><span class="lineno">  799</span>&#160;        <span class="keyword">typename</span>            InputIteratorRA,</div>
<div class="line"><a name="l00800"></a><span class="lineno">  800</span>&#160;        <span class="keyword">typename</span>            HistoCounter&gt;</div>
<div class="line"><a name="l00801"></a><span class="lineno">  801</span>&#160;    __host__ __device__ __forceinline__</div>
<div class="line"><a name="l00802"></a><span class="lineno"><a class="code" href="structcub_1_1_device_histogram.html#a6659e9723fda5e5c0ac587aa66fb54c3">  802</a></span>&#160;    <span class="keyword">static</span> cudaError_t <a class="code" href="structcub_1_1_device_histogram.html#a6659e9723fda5e5c0ac587aa66fb54c3" title="Computes a device-wide histogram. Uses global-memory atomic read-modify-write operations to compute t...">SingleChannelGlobalAtomic</a>(</div>
<div class="line"><a name="l00803"></a><span class="lineno">  803</span>&#160;        <span class="keywordtype">void</span>                *d_temp_storage,                    </div>
<div class="line"><a name="l00804"></a><span class="lineno">  804</span>&#160;        <span class="keywordtype">size_t</span>              &amp;temp_storage_bytes,                </div>
<div class="line"><a name="l00805"></a><span class="lineno">  805</span>&#160;        InputIteratorRA     d_samples,                          </div>
<div class="line"><a name="l00806"></a><span class="lineno">  806</span>&#160;        HistoCounter*       d_histogram,                        </div>
<div class="line"><a name="l00807"></a><span class="lineno">  807</span>&#160;        <span class="keywordtype">int</span>                 num_samples,                        </div>
<div class="line"><a name="l00808"></a><span class="lineno">  808</span>&#160;        cudaStream_t        stream              = 0,            </div>
<div class="line"><a name="l00809"></a><span class="lineno">  809</span>&#160;        <span class="keywordtype">bool</span>                stream_synchronous  = <span class="keyword">false</span>)        </div>
<div class="line"><a name="l00810"></a><span class="lineno">  810</span>&#160;    {</div>
<div class="line"><a name="l00811"></a><span class="lineno">  811</span>&#160;        <span class="keywordflow">return</span> Dispatch&lt;GRID_HISTO_GLOBAL_ATOMIC, BINS, 1, 1&gt;(</div>
<div class="line"><a name="l00812"></a><span class="lineno">  812</span>&#160;            d_temp_storage, temp_storage_bytes, d_samples, &amp;d_histogram, num_samples, stream, stream_synchronous);</div>
<div class="line"><a name="l00813"></a><span class="lineno">  813</span>&#160;    }</div>
<div class="line"><a name="l00814"></a><span class="lineno">  814</span>&#160;</div>
<div class="line"><a name="l00815"></a><span class="lineno">  815</span>&#160;</div>
<div class="line"><a name="l00817"></a><span class="lineno">  817</span>&#160;    <span class="comment">/******************************************************************/</span></div>
<div class="line"><a name="l00821"></a><span class="lineno">  821</span>&#160;</div>
<div class="line"><a name="l00822"></a><span class="lineno">  822</span>&#160;</div>
<div class="line"><a name="l00879"></a><span class="lineno">  879</span>&#160;    <span class="keyword">template</span> &lt;</div>
<div class="line"><a name="l00880"></a><span class="lineno">  880</span>&#160;        <span class="keywordtype">int</span>                 BINS,</div>
<div class="line"><a name="l00881"></a><span class="lineno">  881</span>&#160;        <span class="keywordtype">int</span>                 CHANNELS,</div>
<div class="line"><a name="l00882"></a><span class="lineno">  882</span>&#160;        <span class="keywordtype">int</span>                 ACTIVE_CHANNELS,</div>
<div class="line"><a name="l00883"></a><span class="lineno">  883</span>&#160;        <span class="keyword">typename</span>            InputIteratorRA,</div>
<div class="line"><a name="l00884"></a><span class="lineno">  884</span>&#160;        <span class="keyword">typename</span>            HistoCounter&gt;</div>
<div class="line"><a name="l00885"></a><span class="lineno">  885</span>&#160;    __host__ __device__ __forceinline__</div>
<div class="line"><a name="l00886"></a><span class="lineno"><a class="code" href="structcub_1_1_device_histogram.html#a7f9a00987e98b828823f062d563aaa8c">  886</a></span>&#160;    <span class="keyword">static</span> cudaError_t <a class="code" href="structcub_1_1_device_histogram.html#a7f9a00987e98b828823f062d563aaa8c" title="Computes a device-wide histogram from multi-channel data. Uses fast block-sorting to compute the hist...">MultiChannelSorting</a>(</div>
<div class="line"><a name="l00887"></a><span class="lineno">  887</span>&#160;        <span class="keywordtype">void</span>                *d_temp_storage,                    </div>
<div class="line"><a name="l00888"></a><span class="lineno">  888</span>&#160;        <span class="keywordtype">size_t</span>              &amp;temp_storage_bytes,                </div>
<div class="line"><a name="l00889"></a><span class="lineno">  889</span>&#160;        InputIteratorRA     d_samples,                          </div>
<div class="line"><a name="l00890"></a><span class="lineno">  890</span>&#160;        HistoCounter        *d_histograms[ACTIVE_CHANNELS],     </div>
<div class="line"><a name="l00891"></a><span class="lineno">  891</span>&#160;        <span class="keywordtype">int</span>                 num_samples,                        </div>
<div class="line"><a name="l00892"></a><span class="lineno">  892</span>&#160;        cudaStream_t        stream              = 0,            </div>
<div class="line"><a name="l00893"></a><span class="lineno">  893</span>&#160;        <span class="keywordtype">bool</span>                stream_synchronous  = <span class="keyword">false</span>)        </div>
<div class="line"><a name="l00894"></a><span class="lineno">  894</span>&#160;    {</div>
<div class="line"><a name="l00895"></a><span class="lineno">  895</span>&#160;        <span class="keywordflow">return</span> Dispatch&lt;GRID_HISTO_SORT, BINS, CHANNELS, ACTIVE_CHANNELS&gt;(</div>
<div class="line"><a name="l00896"></a><span class="lineno">  896</span>&#160;            d_temp_storage, temp_storage_bytes, d_samples, d_histograms, num_samples, stream, stream_synchronous);</div>
<div class="line"><a name="l00897"></a><span class="lineno">  897</span>&#160;    }</div>
<div class="line"><a name="l00898"></a><span class="lineno">  898</span>&#160;</div>
<div class="line"><a name="l00899"></a><span class="lineno">  899</span>&#160;</div>
<div class="line"><a name="l00956"></a><span class="lineno">  956</span>&#160;    <span class="keyword">template</span> &lt;</div>
<div class="line"><a name="l00957"></a><span class="lineno">  957</span>&#160;        <span class="keywordtype">int</span>                 BINS,</div>
<div class="line"><a name="l00958"></a><span class="lineno">  958</span>&#160;        <span class="keywordtype">int</span>                 CHANNELS,</div>
<div class="line"><a name="l00959"></a><span class="lineno">  959</span>&#160;        <span class="keywordtype">int</span>                 ACTIVE_CHANNELS,</div>
<div class="line"><a name="l00960"></a><span class="lineno">  960</span>&#160;        <span class="keyword">typename</span>            InputIteratorRA,</div>
<div class="line"><a name="l00961"></a><span class="lineno">  961</span>&#160;        <span class="keyword">typename</span>            HistoCounter&gt;</div>
<div class="line"><a name="l00962"></a><span class="lineno">  962</span>&#160;    __host__ __device__ __forceinline__</div>
<div class="line"><a name="l00963"></a><span class="lineno"><a class="code" href="structcub_1_1_device_histogram.html#a9744fa6ed9761986c6c13afdcb20909d">  963</a></span>&#160;    <span class="keyword">static</span> cudaError_t <a class="code" href="structcub_1_1_device_histogram.html#a9744fa6ed9761986c6c13afdcb20909d" title="Computes a device-wide histogram from multi-channel data. Uses shared-memory atomic read-modify-write...">MultiChannelSharedAtomic</a>(</div>
<div class="line"><a name="l00964"></a><span class="lineno">  964</span>&#160;        <span class="keywordtype">void</span>                *d_temp_storage,                    </div>
<div class="line"><a name="l00965"></a><span class="lineno">  965</span>&#160;        <span class="keywordtype">size_t</span>              &amp;temp_storage_bytes,                </div>
<div class="line"><a name="l00966"></a><span class="lineno">  966</span>&#160;        InputIteratorRA     d_samples,                          </div>
<div class="line"><a name="l00967"></a><span class="lineno">  967</span>&#160;        HistoCounter        *d_histograms[ACTIVE_CHANNELS],     </div>
<div class="line"><a name="l00968"></a><span class="lineno">  968</span>&#160;        <span class="keywordtype">int</span>                 num_samples,                        </div>
<div class="line"><a name="l00969"></a><span class="lineno">  969</span>&#160;        cudaStream_t        stream              = 0,            </div>
<div class="line"><a name="l00970"></a><span class="lineno">  970</span>&#160;        <span class="keywordtype">bool</span>                stream_synchronous  = <span class="keyword">false</span>)        </div>
<div class="line"><a name="l00971"></a><span class="lineno">  971</span>&#160;    {</div>
<div class="line"><a name="l00972"></a><span class="lineno">  972</span>&#160;        <span class="keywordflow">return</span> Dispatch&lt;GRID_HISTO_SHARED_ATOMIC, BINS, CHANNELS, ACTIVE_CHANNELS&gt;(</div>
<div class="line"><a name="l00973"></a><span class="lineno">  973</span>&#160;            d_temp_storage, temp_storage_bytes, d_samples, d_histograms, num_samples, stream, stream_synchronous);</div>
<div class="line"><a name="l00974"></a><span class="lineno">  974</span>&#160;    }</div>
<div class="line"><a name="l00975"></a><span class="lineno">  975</span>&#160;</div>
<div class="line"><a name="l00976"></a><span class="lineno">  976</span>&#160;</div>
<div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>&#160;    <span class="keyword">template</span> &lt;</div>
<div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>&#160;        <span class="keywordtype">int</span>                 BINS,</div>
<div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>&#160;        <span class="keywordtype">int</span>                 CHANNELS,</div>
<div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>&#160;        <span class="keywordtype">int</span>                 ACTIVE_CHANNELS,</div>
<div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>&#160;        <span class="keyword">typename</span>            InputIteratorRA,</div>
<div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>&#160;        <span class="keyword">typename</span>            HistoCounter&gt;</div>
<div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>&#160;    __host__ __device__ __forceinline__</div>
<div class="line"><a name="l01041"></a><span class="lineno"><a class="code" href="structcub_1_1_device_histogram.html#a0e6bee2938ad70ab128ed1a1c5f6d083"> 1041</a></span>&#160;    <span class="keyword">static</span> cudaError_t <a class="code" href="structcub_1_1_device_histogram.html#a0e6bee2938ad70ab128ed1a1c5f6d083" title="Computes a device-wide histogram from multi-channel data. Uses global-memory atomic read-modify-write...">MultiChannelGlobalAtomic</a>(</div>
<div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>&#160;        <span class="keywordtype">void</span>                *d_temp_storage,                    </div>
<div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>&#160;        <span class="keywordtype">size_t</span>              &amp;temp_storage_bytes,                </div>
<div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>&#160;        InputIteratorRA     d_samples,                          </div>
<div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>&#160;        HistoCounter        *d_histograms[ACTIVE_CHANNELS],     </div>
<div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>&#160;        <span class="keywordtype">int</span>                 num_samples,                        </div>
<div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>&#160;        cudaStream_t        stream              = 0,            </div>
<div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>&#160;        <span class="keywordtype">bool</span>                stream_synchronous  = <span class="keyword">false</span>)        </div>
<div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>&#160;    {</div>
<div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>&#160;        <span class="keywordflow">return</span> Dispatch&lt;GRID_HISTO_GLOBAL_ATOMIC, BINS, CHANNELS, ACTIVE_CHANNELS&gt;(</div>
<div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>&#160;            d_temp_storage, temp_storage_bytes, d_samples, d_histograms, num_samples, stream, stream_synchronous);</div>
<div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>&#160;    }</div>
<div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>&#160;</div>
<div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>&#160;</div>
<div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>&#160;};</div>
<div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>&#160;</div>
<div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>&#160;</div>
<div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>&#160;}               <span class="comment">// CUB namespace</span></div>
<div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>&#160;CUB_NS_POSTFIX  <span class="comment">// Optional outer namespace(s)</span></div>
<div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>&#160;</div>
<div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>&#160;</div>
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